Mdm Program Manager

Description:

Project Management:

• Min 15+ years of experience

• Experience managing Data Governance and Master Data Management projects

• BFSI experience highly preferred

• Informatica product implementation is highly preferred

Planning, execution, and successful delivery of data engineering projects

• Project initiation and planning: Define project scope, objectives, timelines, budget, resources, and risks.

• Resource management: Allocate, manage, and track the performance of the data engineering team.

• Communication and collaboration: Facilitate communication between stakeholders, including data engineers, data scientists, business analysts, and executives.

• Risk management: Identify, assess, and mitigate project risks proactively.

• Issue resolution: Address project challenges and issues promptly and effectively.

• Monitoring and reporting: Track project progress, measure performance against targets, and report findings to stakeholders regularly.

Technical Expertise:

• Understanding of data engineering principles and practices: While not requiring in-depth coding expertise, possessing a strong understanding of data pipelines, data storage solutions, data quality concepts, and data security is crucial.

• Familiarity with data engineering tools and technologies: This may include knowledge of ETL/ELT tools, cloud platforms (AWS, Azure, GCP), data warehousing solutions, and data governance frameworks.

Additional Skills:

• Problem-solving and critical thinking

• Analytical skills

• Organizational skills

• Strong interpersonal and communication skills

Overall, a Data Engineering Project Manager requires a blend of technical knowledge, project management expertise, and strong communication skills to ensure the successful delivery of data-driven projects that unlock the power of data for their organization.